Used Tools & Technologies
Not specified
Required Skills & Competences ?
Linux @ 7 Python @ 4 Distributed Systems @ 7 Git @ 4 Perl @ 4 Data Analysis @ 4 Debugging @ 7 Agile @ 4 CUDA @ 4 GPU @ 4Details
We are the CUDA Math Libraries team at NVIDIA -- consistently named one of America's Best Places to Work by Glassdoor. Our software impacts AI applications, self-driving cars, and some of the world’s fastest supercomputers addressing challenges in science, medicine, and engineering. We seek someone with strong integrity, reliability, persistence, problem-solving skills, and expertise in Linux, scripting, debugging, and troubleshooting.
Responsibilities
- Run numerous builds and tests across various architectures, operating systems, and devices.
- Collect data and collaborate to develop infrastructure and tools for effective data analysis.
- Build team relationships to foster collaboration.
- Adapt and problem-solve in a highly dynamic environment.
Requirements
- 6+ years of relevant industry experience.
- Proficiency with Linux.
- Bachelor’s degree in a related field or equivalent experience.
- Expertise in scripting languages such as Python, Perl, Shell, Groovy, etc.
- Strong background in deploying, configuring, and debugging distributed systems.
- Familiarity with software build processes (e.g., compiling C++ code using GNU Make, CMake, Visual Studio, MSBuild).
- Experience with source control management, preferably git.
- Familiarity with containers.
Ways to Stand Out
- Experience with HPC hardware systems, compute clusters, and HPC software performance benchmarking.
- System administrator experience on multi-user Linux servers.
- Background with GPU accelerated systems.
- Experience working in Agile environments.
Benefits
- Competitive base salary ranging from $184,000 to $356,500, dependent on location, experience, and comparable roles.
- Eligibility for equity and additional benefits offered by NVIDIA.
NVIDIA values creativity, autonomy, and a passion for challenges. Join us to help build real-time, efficient computing platforms driving advancements in Deep Learning and Artificial Intelligence.
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